Evidence map›Paper›PMID 29785339›Full record

ArticlePeerJ2018

Identification of potential crucial genes and pathways associated with vein graft restenosis based on gene expression analysis in experimental rabbits.

Qiang Liu, Xiujie Yin, Mingzhu Li, Li Wan, Liqiao Liu, Xiang Zhong, Zhuoqi Liu, Qun Wang

Abstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. The Journal of international medical research · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qiang Liu *Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Xiujie Yin *Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Mingzhu LiJiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Li WanDepartment of Cardiovascular Surgery, Cardiovascular Research Institute Laboratory, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
Liqiao LiuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, China.
Xiang ZhongJiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
Zhuoqi Liu *Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, China.
Qun Wang *Department of Cardiovascular Surgery, Cardiovascular Research Institute Laboratory, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occlusive artery disease (CAD) is the leading cause of death worldwide. Bypass graft surgery remains the most prevalently performed treatment for occlusive arterial disease, and veins are the most frequently used conduits for surgical revascularization. However, the clinical efficacy of bypass graft surgery is highly affected by the long-term potency rates of vein grafts, and no optimal treatments are available for the prevention of vein graft restenosis (VGR) at present. Hence, there is an urgent need to improve our understanding of the molecular mechanisms involved in mediating VGR. The past decade has seen the rapid development of genomic technologies, such as genome sequencing and microarray technologies, which will provide novel insights into potential molecular mechanisms involved in the VGR program. Ironically, high throughput data associated with VGR are extremely scarce. The main goal of the current study was to explore potential crucial genes and pathways associated with VGR and to provide valid biological information for further investigation of VGR. A comprehensive bioinformatics analysis was performed using high throughput gene expression data. Differentially expressed genes (DEGs) were identified using the R and Bioconductor packages. After functional enrichment analysis of the DEGs, protein-protein interaction (PPI) network and sub-PPI network analyses were performed. Finally, nine potential hub genes and fourteen pathways were identified. These hub genes may interact with each other and regulate the VGR program by modulating the cell cycle pathway. Future studies focusing on revealing the specific cellular and molecular mechanisms of these key genes and pathways involved in regulating the VGR program may provide novel therapeutic targets for VGR inhibition.

Indexed as

Bioinformatics analysisDifferentially expressed geneMicroarray dataOcclusive artery diseaseVein graft restenosis

Identifiers

PMID29785339
PMCPMC5960261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.